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Hadoop: The Definitive Guide
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Hadoop: The Definitive Guide

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3.91 of 5 stars 3.91  ·  rating details  ·  302 ratings  ·  31 reviews
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for a
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Kindle Edition, 528 pages
Published (first published May 1st 2009)
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Community Reviews

(showing 1-30 of 944)
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Ahmed
May 28, 2012 Ahmed marked it as to-read  ·  review of another edition
Shelves: programming
i got really interested about Hadoop, that is why i started reading this book :), there are only 3 books about Hadoop, and from reviews i read looks like this one is the best.
Dzver
Обяснява някои концепции на NoSQL, както и идеологията на Hadoop, като на места навлиза в детайли отвъд моите интереси.

Ако я сравня с "Hadoop Pro", която въобще не ми беше полезна, тази трябва да има 5 звездички. Въпреки това има известни пропуски, примерно няма информация за Hive, а тази за HBase e ограничена.

За целите на дипломната ми работа и първоначално запознаване с технологията, книгата е повече от достатъчна, а и още няма алтернатива.
Alex Ott
Very good book, that allows to get high level overview of Hadoop, and related projects, together with description of other Hadoop-related projects - Pig, HBase, and other.
I'll recommend this book for all developers, who want to learn about Hadoop, it's usage and programming for it
Todd N
This is the single best reference guide to Hadoop and related projects, and it's the only O'Reilly book I have read cover to cover.

Here is the way I recommend reading it: Read through the first two chapters including the tutorial walk through with the weather examples, then jump ahead and read the introduction for each of the related projects Pig (chapter 11), Hive (12), HBase (13), Zookeeper (14), Sqoop (15). Then read the case studies in the last chapter. Then go back and read about Hadoop in
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Sidhartha Ray
May 15, 2014 Sidhartha Ray is currently reading it  ·  review of another edition
I've already read the following chapters:

2nd Chapter - MapReduce:
>A good point to start different components of MapReduce program, Mapper, Reducer and all...
>Got a good dataset(weather dataset from NCDC) to play around...
>We can use Cloudera's distribution CDH4 for practicing the programs

7th Chapter - MapReduce Types and Formats:
Anatoliy Kaverin
Best book to dive into Hadoop world.
Of course hadoop API evolves pretty fast, but I was able with minor changes to launch most of code samples.
Very handy, especially provides guidance to use local/dev mode to start immediate implementation of M/R stuff
Franklin Colorado
This seemed like a good book, but not written in much of an order.
Martijn Onderwater
Interesting and broad introduction into Hadoop and various related tools. Definitely worth reading!
Alex Ott
Good book on basics of Hadoop (HDFS, MapReduce & other related technologies). This book provides all necessary details to start work with Hadoop, program using it, administer, etc.

I actually read 1st edition as well, but I found many new & useful additions in new edition
Ambarish Hazarnis
A good book if you want to get started hands on with Hadoop.
Michael Economy
Pretty good summary. Hadoop and it's ecosystem are incredibly complex. I'd be terrified to deploy it without reading this book first. I guess I'm still pretty terrified, but markedly less so.

Some of the writing was a bit wonky, but overall really good.
Courtney
The layout is confusing and non-intuitive. The writing often omits important points. And there is much space given over to specific technologies and not to general Hadoop understanding and programming.
Paul Childs
I found this book more helpful and detailed than the Hadoop in Action book I had read earlier. It was better at explaining the setup and the purpose of the various Hadoop services and config files.
Collin Rogowski
Very thorough and easily readable introduction for the whole Hadoop ecosystem. Can be read "as is" to get an overview, but can also be used as a reference while implementing projects with Hadoop.
Rob
May 14, 2013 Rob marked it as unfinished  ·  review of another edition
Recommended to Rob by: Dave Howell
Shelves: own, 2011, 2012
Picked this up as a "prize" swag item at VT Code Camp 2011. I was probably the least qualified person in the room to read it... but whatever; maybe that's why I "earned" it.
Povilas
This book is more developer oriented. Still, a fine thing to read for Hadoop beginners.
David
Just about every single page of this book is useful. My copy must be heavier with all the pencil marks and notes I've made. (3rd edition)
Ivan
Ideal for the quick intro. Has more facts and feature rich version of the tutorial: http://hadoop.apache.org/docs/r1.0.4/...
Dan
Jun 09, 2012 Dan is currently reading it  ·  review of another edition
I've only just started, but so far this is quite interesting. I would love to put it to work on my web log files and anything else I can think of.
Harry Yeh
Good overview of Hadoop - Definitely a useful guide if you are looking at getting into Big Data, Map Reduce etc
Christopher Noyes
For those trying to learn hadoop, pig, hive and the like and other big data technology, it's a real useful book.
David
Detailed and clear introduction to Hadoop. My main source for getting started with Hadoop.
Nourlcn
Good book to understand hadoop and mapreduce. As well as hbase, hive and zookeeper.
Karishma
the best book for any newbie who wants to get started in the world of hadoop
Paco Nathan
check out the chapter in the appendix about Cascading :)
Ravi Kumar
Jun 20, 2013 Ravi Kumar is currently reading it  ·  review of another edition
Started reading it today (2oth June)... #in
Giovanni Pelosi
i'd liked a flume chapter too ...
Somkiat Chatchuenyot
Database Cluster and Grid
Ian
Ow, my head hurts.
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